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Whether or not its pending $68 billion purchase of Aetna gets finalized, CVS Health will pump big bucks into broadening its menu of healthcare services and personalizing them for consumers. And a key component of its plan is a data-analytics strategy steeped in AI.

Proposed rules to mitigate one of the biggest obstacles to value-based care––interoperability––and provide patients with access to their own health information for free are being met with privacy and security concerns from industry stakeholders.

Electronic wearables that can monitor heart rates, steps and more vital signs are becoming more prevalent across the healthcare space, but the use of these devices is not all on the up and up. Instead of helping people stay on track with their health goals, meticulously tracking symptoms can actually sometimes make them feel worse, Wired reported.

UCLA Health is synthesizing vast amounts of data by deploying new Microsoft cloud computing services, Microsoft Azure, that will speed up medical discoveries and improve patient care.

Amid an ongoing court review of its $69 billion merger with health insurer Aetna, CVS Health isn’t slowing down in its plans to expand, according to executives who spoke at the company’s investor day on June 4.

Using a deep neural network equipped with all patient information relevant to diagnosing adult asthma, researchers in Japan have achieved 98% diagnostic accuracy.